Evidence map›Paper›PMID 40542771›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2025

Tumor Suppressor miRNA-based Signatures in Triple Negative Breast Cancer: A Study Based on Big Data Analysis of Gene Expression Omnibus (GEO) Datasets and Its Validation.

Kavitha Unnikrishnan, Sivakumar Krishnankutty Chandrika, Ram Mohan Ram Kumar, Priya Srinivas

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Article in Asian Pacific journal of cancer prevention : APJCP, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Kavitha UnnikrishnanCancer Research Program, BRIC- Rajiv Gandhi Centre for Biotechnology (BRIC-RGCB), Thiruvananthapuram, 695014, India.
Sivakumar Krishnankutty ChandrikaBioinformatics Facility, BRIC-RGCB, Thiruvananthapuram, 695014, India.
Ram Mohan Ram KumarJSS College of Pharmacy, JSS Academy of Higher Education and Research, Mysuru, 570015, India.
Priya SrinivasCancer Research Program, BRIC- Rajiv Gandhi Centre for Biotechnology (BRIC-RGCB), Thiruvananthapuram, 695014, India.ORCID 0000-0003-3872-7128

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmerging evidence highlights the therapeutic potential of microRNAs (miRNAs) in cancer, positioning them as key molecular tools in personalized medicine. In this study, we aim to identify miRNAs as novel indicators of poor prognosis in Triple Negative Breast Cancer (TNBC) patients and to explore their potential therapeutic options for TNBC. MATERIALS AND

methodsPotent tumor suppressor miRNAs were obtained from four available datasets (GSE38167, GSE40049, GSE86278, GSE154255) of the Gene Expression Omnibus database comprising a total of 94 TNBC-positive and 40 normal tissue samples were analyzed using DESeq2 software. Further, TargetScan was used to predict the targets of differentially downregulated miRNAs and the functional and pathway enrichment analyses were performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) bioinformatics tool. The data obtained were validated by quantitative real-time PCR (qRT-PCR). Finally, survival analysis was performed in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) cohort to check the impact of these miRNAs in TNBC patients.

resultsDifferential expression analysis revealed that 110 miRNAs were upregulated and 243 miRNAs were downregulated in TNBC samples compared to the normal breast tissue samples. The top five downregulated miRNAs were miR-204, miR-6068, miR-139, miR-26a and miR-215. The Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology analysis showed that these miRNAs are involved in various hallmarks of cancer. Further validation using qRT-PCR analysis showed that miR-204, miR-139, and miR-26a were significantly downregulated in TNBC cell lines, MDA-MB-231, MDA-MB-468 and HCC1937 compared to non-tumorigenic cell line, MCF 10A. Kaplan-Meier analysis showed that the survival rate of patients with low miR-204 expression was significantly lower compared to the miR-204 upregulated group.

conclusionmiR-204 can be a potential therapeutic molecule in TNBC. Strategies aimed at restoring the expression of miR-204 through miRNA replacement therapies could offer novel therapeutic approaches for TNBC patients.

Indexed as

Biomarkers, TumorGene Expression Regulation, NeoplasticMicroRNAsTriple Negative Breast NeoplasmsComputational BiologyDatabases, GeneticFemaleGene Expression ProfilingHumansPrognosisSurvival RateBiomarkers, TumorMicroRNAsmiRNATNBCtumor suppressor

Identifiers

PMID40542771
PMCPMC12374493

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